Job Description

- +2 years of technical support experience - Experience troubleshooting and debugging technical systems - Experience in Unix - Experience scripting in modern program languages

Work hard. Have fun. Make history.



The mission of the Catalog Support and Programs (CSP) team is to provide a single point of contact for item-related problems and issues related to all retail and merchant catalog. As a member of Amazon Selection and Catalog Systems team, you'll play a key role in driving Amazon's business. You will be responsible for monitoring the data flow as well as meeting ticket SLAs and driving rootcause resolution defects.



The Amazon Selection and Catalog Systems team is responsible for the systems that allow our business units to provide customers with the largest, highest quality, and most up to date selection in the world. You will play a key role in supporting our business teams worldwide by providing critical product support, carrying out data research, liaising with technology and other internal teams on workflow improvements, data interpretation and data improvements and help providing solutions that drive ongoing improvements to the quality of Amazon's catalogs.



This role requires an individual with excellent analytical abilities and business acumen. The successful candidate will be a self-starter, comfortable with ambiguity, have strong attention to detail, and will be comfortable accessing and working with data from multiple sources. The candidate should also have strong communication skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. Candidate should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally. A keen sense of ownership and drive is a must. The role will work with a diverse set of data and cross-functional teams as well as use data to drive process improvement. An ideal engineer is one who enjoys discovering and solving ambiguous problems, can quickly learn complex systems, and enjoys building actionable insights from data.



To meet these challenges we are looking for passionate, talented and super-smart support engineers. We are looking of people who innovate, love solving hard problems and never take no for an answer. Our engineers are top-notch engineers, who work hard, have fun and make history.



Key job responsibilities

Big Picture:

solve problems at their root, stepping back to understand the broader context

Proactive:

You display energy and initiative in solving problems. You follow all possible avenues to get the job done

Adaptable:

You undertake a variety of tasks willingly. You switch from complex to routine tasks when required. You adapt quickly to new technologies and products. You work effectively with a variety of personalities and work styles

Quality:

You demonstrate appropriate quality and thoroughness.

Integrity:

You act with personal integrity at all times

Professional:

You work within your team's process. You confront problems (even when outside your own domain), propose solutions, take ownership through to resolution or ensure a clear hand-off. You have a positive, can-do approach to work



Migrate the metadata and business rules from existing manual templates into Unified Platform to provide new listing experiences to internal customers.



Analyze and fix inconsistencies of existing metadata and business rules



Use problem solving and analytical skills to solve business problems and drive process improvements



- Bachelor's degree in Engineering or related field - Fluent English language skills are required. - Professional experience of 4+ years in Operations / Support environment. - Demonstrated experience in Python or shell scripts, Java, a sound understanding of web technologies. - Proficient in Python / Java - Demonstrated skill and passion for problem solving and operational excellence - Ability to understand, troubleshoot and describe complex technical processes and issues. - Clear and effective communication & documentation skills - Ability to work effectively with tight deadlines in a fast-paced environment - Proven ability to manage multiple, competing priorities simultaneously - Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel) and an ability to analyze, migrate, solving ambiguity and fixing inconsistencies of metadata.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.